Published September 13, 2023 | Version v1.0.0
Dataset Open

ASSIST-IoT Multimodal Fall Detection Dataset

  • 1. Warsaw University of Technology, Poland
  • 2. Central Institute for Labour Protection – National Research Institute, Poland

Description

Multimodal dataset for fall detection. Includes acceleration data collected from a tag and two smartwatches, and location reported by the tag. More details about the data collection procedure can be found in notes.md.

Contents

The repository contains:

  • data/location_data.csv and data/full_acceleration – preprocessed acceleration and location data from 10 participants and mannequin simulated falls with target variable identified
  • data/subsampled_acceleration_data.csv – subsampled acceleration dataset used for training the AI model
  • notes.md – description of activities performed and notes from data collection
  • videos – reference videos for performed activities

Authors

Acknowledgements

This work is part of the ASSIST-IoT project that has received funding from the EU’s Horizon 2020 research and innovation programme under grant agreement No 957258.

The Central Institute for Labour Protection – National Research Institute provided facilities and equipment for data collection.

License

The dataset is licensed under the Creative Commons Attribution 4.0 International License.

Files

ASSIST-IoT-SRIPAS/multimodal-fall-detection-dataset-v1.0.0.zip

Files (166.1 MB)

Additional details

Funding

European Commission
ASSIST-IoT – Architecture for Scalable, Self-*, human-centric, Intelligent, Secure, and Tactile next generation IoT 957258